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news_classification_file

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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xet
 Community
kozy9 commited on
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Pushing the news classification model

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Files changed (3) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4232
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  - Accuracy: 0.89
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- - F1: 0.8884
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  ## Model description
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@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.8589 | 1.0 | 32 | 0.4555 | 0.855 | 0.8547 |
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- | 0.316 | 2.0 | 64 | 0.3841 | 0.875 | 0.8737 |
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- | 0.1993 | 3.0 | 96 | 0.4407 | 0.875 | 0.8753 |
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- | 0.1376 | 4.0 | 128 | 0.4330 | 0.885 | 0.8829 |
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- | 0.1128 | 5.0 | 160 | 0.4232 | 0.89 | 0.8884 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4052
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  - Accuracy: 0.89
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+ - F1: 0.8902
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.812 | 1.0 | 32 | 0.4014 | 0.875 | 0.8756 |
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+ | 0.299 | 2.0 | 64 | 0.3691 | 0.89 | 0.8903 |
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+ | 0.1833 | 3.0 | 96 | 0.3947 | 0.88 | 0.8808 |
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+ | 0.137 | 4.0 | 128 | 0.4067 | 0.89 | 0.8904 |
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+ | 0.1069 | 5.0 | 160 | 0.4052 | 0.89 | 0.8902 |
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  ### Framework versions
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